Skip to content

Earl K. Miller

Massachusetts Institute of Technology

3 papers in the library · 37 citations · publishing 2020-2024

Papers

A hidden Markov model reliably characterizes ketamine-induced spectral dynamics in macaque local field potentials and human electroencephalograms

PLoS Computational Biology August 18, 2021 Indie C. Garwood, S. Chakravarty, Jacob Donoghue et al. 32 citations

Ketamine, an anesthetic that blocks NMDA receptors, produces alternating bursts of gamma (25-50 Hz) and slow-delta (0.1-4 Hz) brain oscillations. A hidden Markov model fitted to local field potentials from two non-human primates and electroencephalograms from nine humans quantified these dynamics. Gamma activity lasted on average 2.2 seconds in one primate, 1.2 in the other, and 2.5 in humans; slow-delta lasted 1.6, 1.0, and 1.8 seconds respectively. Five sub-states with regular sequential transitions were identified. These findings provide quantitative constraints for models of rhythm generation underlying ketamine-induced altered arousal.

Ketamine can produce oscillatory dynamics by engaging mechanisms dependent on the kinetics of NMDA receptors

bioRxiv Preprint Server April 3, 2024 Elie Adam, Marek Kowalski, Oluwaseun Akeju et al. 5 citations preprint

Ketamine, an NMDA-receptor antagonist, produces sedation, analgesia, and dissociation at low doses and unconsciousness at high doses, generating gamma oscillations (>25 Hz) in the EEG at both doses, with slow-delta oscillations (0.1-4 Hz) interrupting gamma at high doses. Using a biophysical model of cortical circuits, the authors show how NMDA-receptor antagonism by ketamine leads to disinhibition in neuronal circuits, and how the disinhibited interaction between NMDA-receptor-mediated excitation and GABA-receptor-mediated inhibition generates gamma oscillations at both doses and slow-delta oscillations at high doses. This work reveals general mechanisms for oscillatory brain dynamics distinct from previous reports and offers insights into ketamine's action as an anesthetic and therapy for treatment-resistant depression.

A hidden Markov model reliably characterizes ketamine-induced spectral dynamics in macaque LFP and human EEG

medRxiv Preprint Server November 12, 2020 Indie C. Garwood, Sourish Chakravarty, Jacob Donoghue et al. preprint

Ketamine, an anesthetic and psychoactive drug, produces alternating patterns of brain activity: bursts of gamma oscillations (30-50 Hz) and slow oscillations (0.1-10 Hz). A hidden Markov model (HMM) was applied to brainwave data from two non-human primates and nine human subjects receiving anesthetic doses of ketamine. The model revealed distinct states corresponding to gamma bursts and slow oscillations, with intermediate states. Mean gamma burst durations were 2.5 seconds (non-human primate 1), 1.2 seconds (non-human primate 2), and 2.7 seconds (humans). Mean slow oscillation durations were 1.6 seconds, 0.7 seconds, and 2.8 seconds, respectively. This framework provides quantitative constraints for understanding how ketamine alters states of consciousness.